Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
IEEE Spectrum reporter Mark Anderson highlights how Prof. Jeehwan Kim’s research group has developed techniques to produce ultrathin semiconducting films and harvest the materials necessary to manufacture 2-D electronics. Anderson explains that the group’s advances could make possible such innovations as high-efficiency solar cells attached to a car’s exterior and low-power, long-lasting wearable devices.
Financial Times reporter Jemima Kelly reports that MIT researchers have developed a low-power chip that is hardwired to perform public-key encryption. Kelly writes that the chip is “potentially a game-changer for simple, low-powered products such as smart sensors used by industry to gauge things such as temperature and pressure, as well as health monitors.”
Hiawatha Bray of The Boston Globe writes that fake news articles are destined for the same fate as spam emails thanks to research from MIT postdoc Ramy Baly, who is developing software to flag fake news sites. Baly hopes to “create a consumer news app that would direct users to reliable news sources from every point on the political compass.”
Prof. Linda Griffith speaks with Wall Street Journal reporter Mark Ellwood about her work developing a new device that allows researchers to test how a drug affects the human body. Ellwood notes that the technology that Griffith and her team have created “could prove vital for rapidly releasing new vaccines.”
TechCrunch reporter Kate Clark spotlights Prof. Tim Berners-Lee’s quest to decentralize the web and provide people with power over their personal data through his new startup inrupt. Clark explains that inrupt is expanding the platform Berners-Lee developed that allows users to “keep their data wherever they choose, rather than being forced to store it on centralized servers.”
A team of researchers led by Prof. J. Christopher Love has developed a system to produce on-demand clinical-grade vaccines and drugs, writes Dr. Francis Collins on the NIH Director’s Blog. In addition to allowing on site production for hospitals the systems could also “produce biologic treatments specially tailored to attack the cancer of a particular individual,” suggests Collins.
CNBC reporter Andrew Zaleski writes that MIT researchers have developed a neuromorphic chip design that could help advance the development of computers that operate like humans. The design could “lead to processors capable of carrying out machine learning tasks with dramatically lower energy demands,” Zaleski explains.
Popular Science reporter Rob Verger writes that MIT researchers have developed a new AI system that can help identify fake news. Verger explains that the researchers set out to create a tool that could “evaluate how factually strong different sites are, and their political bias.”
In this Reuters video, Jim Drury highlights how MIT researchers have developed an activity simulator that could one day help teach robots how to complete household chores. The simulator, VirtualHome, could train robots to “help the elderly or disabled in their homes,” Drury explains.
Writing for STAT, Karen Weintraub spotlights Prof. J. Christopher Love’s work developing a new desktop drug manufacturing process that can produce thousands of doses of biopharmaceuticals on demand. “I think in the long run there’ll be an opportunity to think about manufacturing for patients in a new way,” says Love.
Researchers from MIT and the Qatar Computing Research Institute have developed a machine learning tool that can identify fake news, reports Steven Melendez for Fast Company. Melendez writes that the system “uses a machine learning technique known as support vector machines to learn to predict how media organizations will be classified by Media Bias/Fact Check.”
Wall Street Journal reporter Eugenia Cheng examines how three MIT researchers developed the RSA encryption system. “The development of RSA cryptography shows how mathematics research done for curiosity’s sake can eventually become useful, even if it takes several centuries,” writes Cheng. “It’s almost impossible to predict what research will yield practical results.”
On this episode of BBC’s Witness podcast, Prof. Ioannis Yannas speaks about his work developing artificial skin made of collagen. Used to cover burns too large for skin grafts, the collagen membrane kept infection out and “solved the problem of having the patient grow back their own skin organ, which was unheard of at that time,” explains Yannas.
Prof. Yoel Fink speaks with BBC Click about his work developing fabrics embedded with light-emitting diodes that could help keep pedestrians safe. Fink explains that the fabric can detect the lights from an oncoming vehicle and establish an “affirmative link between the car and pedestrian.”